George I. Austin

machine learning & computational biology researcher

New York, NY Email GitHub LinkedIn Google Scholar

Software

          

SCRuB
Source-tracking for Contamination Removal in microBiomes
In silico removal of contamination from microbial count data using process controls.
Austin et al., Nature Biotechnology 2023.

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DEBIAS-M
Domain adaptation with phenotype Estimation and Batch Integration Across Studies of the Microbiome
Correction of processing bias across microbiome batches and studies.
Austin et al., Nature Microbiology 2025

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RebalancedCV
Cross validation while accounting for distributional bias.
Austin et al., Science Advances 2025.

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SLICE
Site-Level Independent Cross-Evaluation
Unbiased cross validation in complex experimental settings.
Austin et al., under review.